NewPoint any agent at UberLLM — one key, every model, list price or less.
UberLLM

Gemini 3.1 Pro vs GPT-6.1 Sol

google/gemini-3.1-pro · openai/gpt-6.1-sol

As of November 5, 2026, GPT-6.1 Sol is the cheaper API on UberLLM: $0.0792 per million input tokens and $0.3958 per million output, versus $0.2600 / $1.56 for Gemini 3.1 Pro, about 74% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GPT-6.1 Sol to cut cost; choose Gemini 3.1 Pro when its capabilities fit your task better.

Gemini 3.1 Pro vs GPT-6.1 Sol, side by side

SpecGemini 3.1 ProGPT-6.1 Sol
Price · input / 1M$0.2600$0.0792
Price · output / 1M$1.56$0.3958
Context length1,048,5761,050,000
Max output tokens65,536128,000
Input modalitiestext, imagetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list—96% off
First token, median (7 days)—7.6 s (193 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 3.1 Pro vs GPT-6.1 Sol — FAQ

Is Gemini 3.1 Pro or GPT-6.1 Sol cheaper?

GPT-6.1 Sol is cheaper on a blended token mix, by about 74%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Gemini 3.1 Pro and GPT-6.1 Sol?

Gemini 3.1 Pro: $0.2600 in / $1.56 out per 1M tokens. GPT-6.1 Sol: $0.0792 in / $0.3958 out per 1M tokens. That's roughly a 74% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 3.1 Pro and GPT-6.1 Sol with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

More comparisons